When it comes to making the most of data, organizations typically face two distinct challenges. The first is an overabundance of data and difficulty in centrally managing and structuring it for future use. The second is the creation and delivery of innovative mechanisms that allow for in-depth data analysis enabling  the discovery of important business trends which are at the core of business intelligence initiatives.

Latitude’s Business Intelligence Services helps you address these challenges by building your organization’s strengths in:

  • Business analysis services
  • Data warehouse architecture
  • Back-end data acquisition
  • Dashboard, Reporting and BI Portal Development
  • Predictive analytics
  • Online analytical processing (OLAP)

Latitude provides mentoring, consulting services and thought leadership around data modeling, data mining, reporting, and integration for our clients. Our goal when delivering analysis services projects is to make sure our clients thoroughly understand the BI and data warehouse project lifecycle.   Our group of business intelligence experts provides comprehensive services throughout the lifecycle process ensuring that the complex business drivers and requirements are always at the forefront of the initiative.  Additionally, we can work directly with your in-house or 3rd party teams to provide critical services anywhere in the process.

Business Intelligence Capabilities

 

Latitude is highly skilled in data warehousing and BI architectures, including enterprise data warehousing, subject-area data-marts, and operational data-stores. To accomplish this, we use market-leading tools, including the Microsoft BI Suite, Cognos and Business Objects.   We combine proven project execution and management experience with technical and functional expertise. The result is high-value, high-impact, high-ROI solutions that meet your critical business needs and address the drivers behind any BI initiative.  Latitude delivers a well-integrated set of BI expertise including (but not limited to):

  • Business Analysis — Development of a comprehensive set of business requirements and measurements to validate the success of the effort. Key strategic considerations might include: business drivers, long-term business objectives,  integration of BI application and business processes, identification of key and ancillary stake holders, data security, data quality and data sufficiency.

  • Data Modeling: Enterprise data warehouse creation, with subject area data-marts and operational data-stores for more transactional information and closer-in (near-real-time) data.

  • Data Sourcing, ETL Design, and Development:  Source-system integration analysis for the transformation and loading of identified data.  Leading to: development of data extraction strategies, historical data strategies, development of data transfer mechanisms, definition and development data cleansing and validation rules, along with data transformation business rules.

  • Reporting and Dashboard Visualization: Development of enhanced user experience elements that meet the business requirements while making sure the information is accessible and easy to consume.  Interfaces include (but are not limited to):  Custom reporting with or without graphical representation of data, enterprise/departmental dashboard visualization. Custom reporting with drill down to explore data relationships and varying levels of summarization.


Latitude Business Intelligence Partners